Autoscribes LIMS has more than the usual applications, from lotteries to vehicle rentals, as Sophia Ktori discovers
Lonza Biosciences MODA system offers not just a paperless but a mobile and sanitisable way to carry out microbiology testing. Sophia Ktori reports
Alison Kennedy discusses why self-help will not be enough to overcome the challenge of XXscale in the HPC industry
Robert Roe investigates the use of simulation within the aerospace industry and the steps taken to reduce the complexity of software for engineers
Even a nation as advanced as the USA can field only two consortia capable of getting to exascale.Robert Roe reports
Today the US National Consortium for Data Science is an active and growing organisation. Stan Ahalt discusses how and why it came into being
Metadata is key to mastering the volumes of data in science and engineering, argues Bob Murphy, and tools are available to make it easier
As the Large Hadron Collider restarts at Cern, data storage has become as important to scientists as compute power. But, as Tom Wilkie reports, the innovative technologies being developed have much wider applications
In the second article in his series on future hardware for HPC, Robert Roe looks at alternatives to the x86, including server on a chip and OpenPower
Gloria Metrick highlights a significant trend in informatics software: the growing convergence between sample-centric laboratory and patient-centric clinical systems
As not only the HPC industry but the larger computing ecosystem tries to overcome the slowdown and eventual end of transistor scaling described by Moore’s Law, scientists and researchers are implementing programmes that will define the technologies and new materials needed to supplement, or repla
Architectural specialisation is one option to continue to improve performance beyond the limits imposed by the slow down in Moore’s Law.
As the complexity of both HPC hardware and the challenges that scientists are trying to solve using HPC systems increases, ensuring a system is utilised efficiently is necessary to deliver a computing service with value for money and a high research output.
With data rates increasing and more complex challenges arising in life sciences, Panasas’ Jim Donovan and Dale Brantly discuss the benefits of using HPC for these workloads
